Director of Lab Services

• Own the strategy, day-to-day operation, and continuous improvement of Nscale’s lab
  environments.
  

• Ensure development labs are reliable, secure, organised, and operationally ready to support
  hardware validation, platform development, and cluster testing.

• Lead planning and delivery for lab capacity, including rack space, power, cooling, cabling,
  networking, and physical layout.
  

• Develop and maintain standards for lab operations, asset lifecycle management,
  equipment handling, change control, and environment readiness.
  

• Build and lead a high-performing Lab Services team with clear priorities, processes, and
  service expectations.
  

• Partner with engineering, infrastructure, and platform teams to understand roadmap
  requirements and translate them into lab capability and operational plans.
  

• Provide technical and operational oversight for the introduction of next-generation GPU
  systems and supporting infrastructure.
  

• Ensure the lab estate is able to meet the demands of high-density compute environments,
  with particular focus on power, cooling, resilience, and scalability.
  

• Oversee hardware installation, bring-up, configuration, and maintenance activities within
  the lab.
  

• Drive the use of internal automation and tooling to provision, validate, and manage clusters
  in lab environments.
  

• Dogfood internal cluster lifecycle tooling and feed back operational insights to improve
  automation, usability, reliability, and supportability.
• Establish metrics, reporting, and service levels for lab availability, utilisation, readiness, and incident performance.

• Own lab-related vendor and facilities relationships where needed, ensuring external
  dependencies are managed effectively.
  
• Ensure appropriate health, safety, security, and compliance controls are in place across all
  lab spaces.
• Support incident response and problem management for lab-related issues, driving root cause analysis and corrective actions.

About You

• Strong technical understanding of modern hardware infrastructure, including server
  platforms, storage, networking, and GPU-based systems.
• Deep understanding of the operational requirements for next-generation GPU
  infrastructure, including space, power, cooling, and physical deployment considerations.
• Strong leadership capability, with experience building and managing operational or
  technical services teams.
• Ability to work effectively across facilities, hardware, engineering, infrastructure, and
  software teams.
• Strong planning, prioritisation, and execution skills, with the ability to balance immediate
  operational needs with longer-term strategic goals.
• Strong problem-solving skills and a practical, hands-on approach to operational delivery.
• Good understanding of automation-led infrastructure operations and the value of using
  internal tooling in real-world environments.
• Familiarity with cluster bring-up, configuration management, and infrastructure lifecycle
  practices.
• Excellent communication skills, with the ability to influence across technical and
  non-technical stakeholders.

Experience

• Significant experience in lab operations, technical infrastructure operations, data centre
  environments, or a closely related function.
• Proven experience owning environments that support hardware development,
  infrastructure validation, or pre-production cluster testing.
• Demonstrable experience working with high-density compute or GPU infrastructure and
  the associated operational constraints.
• Experience managing physical infrastructure dependencies such as power, cooling, rack
  space, and facilities coordination.
• Experience introducing or scaling operational processes for asset management,
  environment readiness, access control, and service reliability.
• Experience working with automation, provisioning, or platform teams to bring systems
  online and manage them through tooling rather than manual processes.
• Experience using operational feedback to improve internal tools, workflows, and service
  quality.
• Experience in fast-moving, high-growth, or technically complex environments is highly
  desirable.
• Experience supporting AI, HPC, or large-scale GPU cluster environments.
• Familiarity with bare metal provisioning, cluster management, and infrastructure
  automation tooling.
• Experience working closely with facilities or data centre providers to design and support
  specialised compute environments.
• A degree in engineering, computer science, infrastructure, or a related discipline, or
  equivalent practical experience.

What We Can Offer You

At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core.

• Highly competitive package (base + equity) with reviews every 12 months. 🚀
• Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI. ✨
• Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support. 
• Human-First Flexibility: We treat you as humans first. 🫶🏽 Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.

Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work.

Equal Opportunities Statement

We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.

If there’s anything we can do to accommodate your specific situation, please let us know.

The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.